
TL;DR
This paper demonstrates that human gaze behavior follows a universal, context-invariant baseline pattern that can be modeled using statistical regularities, regardless of task, content, or observer, revealing an underlying motor prior in the visual system.
Contribution
It introduces a context-agnostic eye movement model that captures human gaze behavior across various tasks and populations, challenging the belief that gaze patterns are highly task-dependent.
Findings
The model outperforms random models in describing gaze behavior.
Gaze patterns are consistent across different tasks and age groups.
Evidence suggests a universal motor prior in the human visual system.
Abstract
Humans perceive their visual environment by directing their eyes towards relevant objects. The deployment of visual attention depends substantially on the stimulus's properties, higher cognitive processes, and biases and constraints of the visual system. Numerous models describe people's eye movements depending on the performed task or the viewed content. However, there is no universal, context-invariant model of human gaze behaviour. Here we show that statistical regularities can be utilised to model human gaze behaviour regardless of task, observer, and content. Using a context-agnostic eye movement model, we were able to describe human gaze behaviour better than a uniform random model in various viewing situations. Using a fixed transition kernel, the model can describe gaze patterns during reading, visual search, and scene perception, as well as for both adults and children. Thus,…
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